CN110650042A - Electric power communication network health degree evaluation method and terminal equipment - Google Patents
Electric power communication network health degree evaluation method and terminal equipment Download PDFInfo
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Abstract
The invention is suitable for the technical field of power communication, and provides a method for evaluating the health degree of a power communication network and terminal equipment, wherein the method comprises the following steps: acquiring a plurality of key evaluation indexes corresponding to the first service, and establishing a health degree evaluation model of the first service according to the plurality of key evaluation indexes; the first service is any one of a plurality of services; acquiring network quality monitoring data corresponding to the first service, and determining a health degree evaluation value corresponding to the first service according to the network quality monitoring data; and determining the health degree grade of the first service according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service. For different services with larger differences in the power communication network, key evaluation indexes with higher correlation degrees with the corresponding services are respectively selected for health degree evaluation, and the services are divided for health degree evaluation of the power communication network, so that the accuracy is higher.
Description
Technical Field
The invention belongs to the technical field of power communication, and particularly relates to a method for evaluating health degree of a power communication network and terminal equipment.
Background
The power communication network is a communication service network with power industry characteristics, which is generated in order to ensure the safe and stable operation of a power system, and comprises various communication devices, various network structures and various service types. In the aspect of power communication network terminal access networks, the types of power distribution and utilization services are complicated, the difference of requirements is large, in order to support more services and enlarge communication scale, how to effectively know the operation condition of the power communication network and comprehensively evaluate the health degree of the power communication network is achieved, and therefore the operation, maintenance and management work of the power communication network is assisted to become a key problem.
The prior art generally only examines a single index of the power communication network. However, since the service differences in the power communication network are large, the accuracy of evaluating the power communication network by using a single index is poor.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method for evaluating health of an electric power communication network and a terminal device, so as to solve the problem in the prior art that accuracy of evaluating the electric power communication network by using a single index is poor due to large service difference in the electric power communication network.
The first aspect of the embodiments of the present invention provides a method for evaluating health of a power communication network, where the power communication network includes multiple services, and the method for evaluating health of a power communication network includes:
acquiring a plurality of key evaluation indexes corresponding to the first service, and establishing a health degree evaluation model of the first service according to the plurality of key evaluation indexes; the first service is any one of a plurality of services;
acquiring network quality monitoring data corresponding to the first service, and determining a health degree evaluation value corresponding to the first service according to the network quality monitoring data; and
and determining the health degree grade of the first service according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service.
A second aspect of an embodiment of the present invention provides a terminal device, including: the evaluation method comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the evaluation method for the health of the power communication network according to the first aspect of the embodiment of the invention.
A third aspect of the embodiments of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the method for evaluating health of an electric power communication network according to the first aspect of the embodiments of the present invention are implemented.
The embodiment of the invention respectively evaluates each service in the power communication network, firstly selects a key evaluation index of the service corresponding to each service, establishes a health degree evaluation model, then determines a health degree evaluation value of the service according to network quality monitoring data, and finally obtains the health degree grade of the service according to the health degree evaluation value and the health degree evaluation model of the service. For different services with large differences in the power communication network, corresponding key evaluation indexes are respectively selected for health degree evaluation, and the health degree evaluation accuracy of the power communication network by the sub-services is higher.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of an implementation of a method for evaluating health of an electric power communication network according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a network testing method according to an embodiment of the present invention;
FIG. 3 is an improved radar chart provided by embodiments of the present invention;
fig. 4 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Referring to fig. 1, an embodiment of the present invention provides a method for evaluating health of an electric power communication network, where the electric power communication network includes multiple services, and the method for evaluating health of an electric power communication network includes:
step S101: acquiring a plurality of key evaluation indexes corresponding to the first service, and establishing a health degree evaluation model of the first service according to the plurality of key evaluation indexes; the first service is any one of a plurality of services.
The electric power communication network has various services, and because different types of services have larger difference, some services need to meet the requirements of low time delay and high bandwidth; some services need to meet high bandwidth but do not have outstanding latency requirements. For example, scheduling data traffic in the future, has high bandwidth requirements but low latency requirements. At present, the indexes of service quality evaluation of the power communication network mainly include evaluation indexes such as bandwidth, time delay, packet loss rate, jitter and the like. Because different services have different requirements on evaluation indexes, the health degree of the power communication network is evaluated respectively aiming at different services.
Obtaining a plurality of key evaluation indexes of any one of a plurality of services, and establishing a health degree evaluation model of the service according to the key evaluation indexes. The plurality of key evaluation indexes are a plurality of comparative key evaluation indexes which have large influence on the business, and a health degree evaluation model of the business is established according to the plurality of key evaluation indexes.
In some embodiments, step S101 may include:
acquiring a grade evaluation standard preset by each key evaluation index and the weight of each key evaluation index;
and determining a health degree evaluation model of the first service by adopting an improved radar graph method according to a grade evaluation standard preset by each key evaluation index and the weight of each key evaluation index.
First, the grade standard of each key evaluation index and the weight of each key evaluation index are obtained. Because each service has different requirements on evaluation indexes such as time delay, packet loss rate and the like, the level evaluation ranges of the key evaluation indexes are different, namely the level standards are different. According to the actual situation, the health degree may be divided into several levels, for example, the health degree level is divided into 3 levels, and the level evaluation criteria corresponding to each key evaluation index are obtained, referring to table 1.
TABLE 1 evaluation criteria table for key evaluation index grade
| Grade | Key evaluation index 1 | Key evaluation index 2 | Key evaluation index 3 | Evaluation grade standard of health degree |
| 1 | 0-0.5 | 0-0.3 | 0-0.65 | 0-0.58 |
| 2 | 0.5-0.8 | 0.3-0.8 | 0.65-0.7 | 0.58-0.73 |
| 3 | 0.8-1 | 0.8-1 | 0.7-1 | 0.73-1 |
The preset grade evaluation standard of each key evaluation index corresponds to one grade upper limit index value and one grade lower limit index value in each grade, for example, the grade upper limit index value of the grade 1 of the evaluation index 1 is 0.5, and the grade lower limit index value is 0.
And corresponding to a grade, calculating to obtain a lower limit index value of the health degree evaluation grade standard corresponding to the grade by adopting an improved radar graph method according to the grade lower limit index value of each key evaluation index and the weight of each key evaluation index. Correspondingly, according to the grade upper limit index value of each key evaluation index and the weight of each key evaluation index, the upper limit index value of the health degree evaluation grade standard corresponding to the grade is calculated by adopting an improved radar graph method.
And respectively calculating an upper limit index value and a lower limit index value of the health degree evaluation grade standard corresponding to each grade to obtain a health degree evaluation model of the first service.
The method for obtaining the weight of each key evaluation index may be the same as the specific determination method for determining the weight of each key evaluation index described below.
In some embodiments, when the level upper limit index value and the level lower limit index value in the level evaluation criterion are values greater than 1, the level upper limit index value and the level lower limit index value are normalized.
Step S102: and acquiring network quality monitoring data corresponding to the first service, and determining a health degree evaluation value corresponding to the first service according to the network quality monitoring data.
The network quality monitoring data can reflect index values of each key evaluation index corresponding to the first service.
In some embodiments, obtaining the network quality monitoring data corresponding to the first service may include:
generating a network quality test case corresponding to the first service;
according to the network quality test example, sending a detection message to the power communication network in a hardware probe mode;
and receiving network quality monitoring data corresponding to the first service returned by the power communication network.
Different services in the power communication Network have different requirements on testing, and Network Quality of some important channels can adopt an important Network performance detection method in an NQA (Network Quality Analyzer) test case. Some channels carry important traffic carried by TCP (Transmission Control Protocol), and a TCP test case may be used. The power communication network can be tested by adopting different test cases according to the requirements of different services, and the network quality monitoring data is obtained. Meanwhile, the content of some service tests is rich, and some services only need to test less indexes, so that different services can be tested by adopting different test cases, and the problem that different service test cases are insufficient or excessive due to the adoption of the same test case is avoided.
According to the network quality test example, a hardware probe mode can be adopted to send the detection message to the power communication network. Referring to fig. 2, the hardware probe supports not only UDP jitter test case, TCP test case, and ICMP test case, but also is relatively simple to deploy and maintain, as opposed to the software probe. Meanwhile, a hardware probe mode is adopted to send the detection message. The detection message directly assembles the three-layer message and stamps a timestamp, the message is directly sent out through the two-layer interface, and the highest priority can be set during sending so as to ensure that the detection message can be sent preferentially. And when the message is received at the two layers, a receiving timestamp is marked on the message, so that the precision of the hardware probe mode test is higher. The software probe sends and receives messages which are processed in three layers, and cannot set priority, the messages are packaged in the testing process, ARP (Address Resolution Protocol, which is a TCP/IP Protocol for acquiring physical addresses according to IP addresses) requests and the like are all calculated in the delay, and the testing precision is poorer than that of a hardware probe mode.
In some embodiments, determining the health evaluation value corresponding to the first service according to the network quality monitoring data may include:
determining index values of all key evaluation indexes according to the network quality monitoring data;
determining the weight of each key evaluation index;
and determining a health degree evaluation value corresponding to the first service according to the index value of each key evaluation index and the weight of each key evaluation index.
The network quality monitoring data may reflect an index value of each key evaluation index corresponding to a certain service, for example, the network quality monitoring data includes a delay time, that is, an index value of a delay in the evaluation index may be reflected, and the index value of each key evaluation index may be determined according to the network quality monitoring data. The weight of each key evaluation index can be determined by, for example, expert scoring. The weight represents the importance degree of the key evaluation indexes to the corresponding service, and the comprehensive index value, namely the health degree evaluation value of the corresponding service can be obtained through calculation according to the index value of each key evaluation index and the weight of each key evaluation index.
And further determining a health degree evaluation value corresponding to the corresponding service according to the index value of each key evaluation index and the weight of each key evaluation index.
In some embodiments, determining the weight of each key evaluation index may include:
acquiring an initial weight matrix corresponding to a first service, wherein the initial weight matrix comprises a plurality of initial weights corresponding to each key evaluation index;
determining average weights respectively corresponding to the key evaluation indexes according to a plurality of initial weights respectively corresponding to the key evaluation indexes;
determining weight offsets of a plurality of initial weights corresponding to each key evaluation index according to the average weight corresponding to each key evaluation index and the plurality of initial weights corresponding to each key evaluation index;
determining the intermediate weight of each key evaluation index according to the weight offset of the plurality of initial weights corresponding to each key evaluation index and the plurality of initial weights corresponding to each key evaluation index;
and carrying out normalization processing on the intermediate weight of each key evaluation index to obtain the weight of each key evaluation index.
Setting i survey objects (i is 1,2, … m, m is the number of the survey objects) for a first service, and respectively acquiring the weights q of a plurality of key evaluation indexes of each survey objectij(j is 1,2, … n, n is the number of evaluation indexes) to form an initial weight matrix Q (Q is Q) corresponding to the first serviceij)m×n. Each key evaluation indexThe corresponding initial weights are weights of the survey targets corresponding to the key evaluation indexes. In some embodiments, the weights of the plurality of survey targets respectively corresponding to the key evaluation indexes may be determined according to the expert opinion and the user requirement, i.e. the initial weight matrix Q ═ (Q) may be determinedij)m×n. Wherein,
calculating the average weight of the j key evaluation index
Calculating to obtain the weight offset of each initial weight corresponding to each key evaluation index
Then, according to the weight offset of a plurality of initial weights respectively corresponding to each key evaluation index
And a plurality of initial weights q corresponding to each key evaluation indexijDetermining the intermediate weight p of each key evaluation indexj. Finally, the intermediate weight p of each key evaluation indexjCarrying out normalization processing to obtain the weight P of each key evaluation indexj，
In some embodiments, determining the intermediate weight of each key evaluation indicator according to the weight offset of the plurality of initial weights corresponding to each key evaluation indicator and the plurality of initial weights corresponding to each key evaluation indicator may include:
intermediate weight p of jth key evaluation indexjComprises the following steps:
wherein the initial weight matrix Q ═ Q (Q)ij)m×n，qijAn ith initial weight which is a jth evaluation index, where i is 1,2, … m, and m is the number of the plurality of initial weights; j is 1,2, … n, n is the number of key evaluation indexes,is qijWeight offset of pijAre passed weights.
In some embodiments, determining the health degree evaluation value corresponding to the first service according to the index value of each key evaluation index and the weight of each key evaluation index may include:
normalizing the index value of each key evaluation index to obtain the normalized index value of each key evaluation index;
drawing an improved radar chart according to the normalized index value of each key evaluation index and the weight of each key evaluation index;
and determining a health degree evaluation value corresponding to the first service according to the improved radar map.
Referring to fig. 3, the modified radar map is a unit circle, so that the index value of each key evaluation index is first normalized to obtain the normalized index value of each key evaluation index. For example, the index value of each key evaluation index corresponding to the first service is xjNormalized index value x of each key evaluation indexj'＝(xj-xmin)/(xmax-xmin) Wherein x ismaxIs the maximum value, x, of the index values of the respective key evaluation indexesminMinimum value among index values of the respective key evaluation indexes.
According to the weight value P of each key evaluation indexjCarrying out region division on the unit circle to obtain a plurality of fan-shaped regions, wherein the angles corresponding to central angles are as follows:
θj＝2πPj
wherein，θjThe central angle P of the sector area corresponding to the jth key evaluation indexjIs the weight of the jth key evaluation index.
Taking the circle center as a starting point for each sector area, and taking the normalized index value x of the key evaluation index corresponding to the sector areaj' for length, a straight line is drawn along one half of the corresponding central angle of the sector, e.g., OA1, resulting in an improved radar map. And determining a health degree evaluation value corresponding to the first service according to the improved radar map.
Step S103: and determining the health degree grade of the first service according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service.
The health degree evaluation model comprises an upper limit index value and a lower limit index value of the health degree evaluation grade standard corresponding to each grade. And determining the health degree evaluation value corresponding to the first service to be located between the upper limit index value and the lower limit index value of the health degree evaluation grade standard corresponding to which grade, and then the grade is the health degree grade of the first service.
In some embodiments, step S102 may be preceded by step S104:
step S104: and establishing a network quality model corresponding to the first service according to the network quality requirement of the first service, and determining a plurality of key evaluation indexes corresponding to the first service according to the network quality model.
Since the contribution degree of each evaluation index of the power communication network to the quality of each service is different, it is necessary to establish a network quality model according to the network quality requirement of the corresponding service. For example, common evaluation indexes in the power communication network include: and determining the priority of each evaluation index according to the requirements and characteristics of different services, such as the requirement on the communication delay of telemechanical services in a dispatching automation system is less than 100ms, the priority is lower, the requirement on the delay of a stability management information system is less than 30ms, the priority is higher, and the modeling of a network quality model is completed. The priority of each evaluation index can be intuitively known through a network quality model, so that the evaluation index with higher corresponding service priority is screened out and used as a key evaluation index.
The embodiment of the invention provides a method for evaluating the health degree of a power communication network, which is used for evaluating each service in the power communication network respectively, firstly selecting a key evaluation index of the service corresponding to each service, establishing a health degree evaluation model, then determining the health degree evaluation value of the service according to network quality monitoring data, and finally obtaining the health degree grade of the service according to the health degree evaluation value and the health degree evaluation model of the service. Corresponding to different services with large differences in the power communication network, corresponding key evaluation indexes are respectively selected for health degree evaluation, and the health degree evaluation accuracy of the power communication network by the sub-services is higher. By the method, the network quality of the power communication network can be improved by intuitively judging the operation quality of the current power communication network aiming at a certain service according to the network quality monitoring data so as to quickly take targeted measures. For example, when the health level corresponding to a certain service in the power communication network is always in a low state within a certain time, corresponding network modification is performed on the service, so that the health condition of the power communication network on the service is fundamentally improved for a long time.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Corresponding to the method for evaluating the health degree of the power communication network in the above embodiment, an embodiment of the invention provides a device for evaluating the health degree of the power communication network, which comprises:
the evaluation model establishing module is used for acquiring a plurality of key evaluation indexes corresponding to the first service and establishing a health degree evaluation model of the first service according to the key evaluation indexes; the first service is any one of a plurality of services;
the evaluation value determining module is used for acquiring network quality monitoring data corresponding to the first service and determining a health degree evaluation value corresponding to the first service according to the network quality monitoring data; and
and the health degree grade determining module is used for determining the health degree grade of the first service according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service.
In some embodiments, the power communication network health degree evaluation device may further include:
and the key index screening module is used for establishing a network quality model corresponding to the first service according to the network quality requirement of the first service and determining a plurality of key evaluation indexes corresponding to the first service according to the network quality model.
In some embodiments, the evaluation model building module may include:
the parameter acquisition unit is used for acquiring a grade evaluation standard preset by each key evaluation index and the weight of each key evaluation index;
and the model determining unit is used for determining the health degree evaluation model of the first service by adopting an improved radar map method according to the preset grade evaluation standard of each key evaluation index and the weight of each key evaluation index.
In some embodiments, the evaluation value determination module may include:
a test case generating unit, configured to generate a network quality test case corresponding to the first service;
the detection message sending unit is used for sending a detection message to the power communication network in a hardware probe mode according to the network quality test example;
and the data receiving unit is used for receiving the network quality monitoring data corresponding to the first service returned by the power communication network.
In some embodiments, the evaluation value determining module may further include:
the index value determining unit is used for determining the index value of each key evaluation index according to the network quality monitoring data;
a weight determination unit for determining the weight of each key evaluation index;
and the health degree evaluation value determining unit is used for determining the health degree evaluation value corresponding to the first service according to the index value of each key evaluation index and the weight of each key evaluation index.
In some embodiments, the health evaluation value determination unit may include:
the normalization subunit is used for performing normalization processing on the index values of the key evaluation indexes to obtain normalized index values of the key evaluation indexes;
the radar map drawing subunit is used for drawing an improved radar map according to the normalized index value of each key evaluation index and the weight of each key evaluation index;
and the evaluation value determining subunit is used for determining the health degree evaluation value corresponding to the first service according to the improved radar map.
In some embodiments, the weight determination unit may include:
the initial weight matrix obtaining subunit is configured to obtain an initial weight matrix corresponding to the first service, where the initial weight matrix includes multiple initial weights corresponding to each key evaluation index;
the average weight determining subunit is used for determining the average weight corresponding to each key evaluation index according to the initial weights corresponding to each key evaluation index;
a weight offset determining subunit, configured to determine, according to the average weight corresponding to each of the key evaluation indicators and the plurality of initial weights corresponding to each of the key evaluation indicators, a weight offset of each of the initial weights corresponding to each of the key evaluation indicators;
the intermediate weight determining subunit is used for determining the intermediate weight of each key evaluation index according to the weight offset of each initial weight corresponding to each key evaluation index and the plurality of initial weights corresponding to each key evaluation index;
and the weight determining subunit is used for carrying out normalization processing on the intermediate weight of each key evaluation index to obtain the weight of each key evaluation index.
In some embodiments, the intermediate weight p of the jth key evaluation indexjComprises the following steps:
wherein the initial weight matrix Q ═ Q (Q)ij)m×n，qijAn ith initial weight which is a jth evaluation index, where i is 1,2, … m, and m is the number of the plurality of initial weights; j is 1,2, … n, n is the number of key evaluation indexes,
is qijWeight offset of pijAre passed weights.
Fig. 4 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 4, the terminal device 400 of this embodiment includes: a processor 401, a memory 402 and a computer program 403, such as a program of a power communication network health assessment method, stored in the memory 402 and executable on the processor 401. The steps in the above-described embodiment of the method for evaluating health of an electric power communication network, for example, steps S101 to S103 shown in fig. 1, are implemented when the processor 401 executes the computer program 403, and the functions of the modules in the above-described embodiments of the apparatuses are implemented when the processor 401 executes the computer program 403.
Illustratively, the computer program 403 may be divided into one or more program modules, which are stored in the memory 402 and executed by the processor 401 to implement the present invention. One or more program modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used for describing the execution process of the computer program 403 in the electric power communication network health evaluation device or the terminal device 400. For example, the computer program 403 may be divided into an evaluation model building module, an evaluation value determining module, and a health level determining module, and specific functions of each module are not described in detail herein.
The terminal device 400 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device 400 may include, but is not limited to, a processor 401, a memory 402. Those skilled in the art will appreciate that fig. 4 is merely an example of a terminal device 400 and does not constitute a limitation of terminal device 400 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the terminal device may also include input output devices, network access devices, buses, etc.
The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 402 may be an internal storage unit of the terminal device 400, such as a hard disk or a memory of the terminal device 400. The memory 402 may also be an external storage device of the terminal device 400, such as a plug-in hard disk provided on the terminal device 400, a Smart Media Card (SMC), a Secure Digital (SD) Card, a flash Card (FlashCard), and the like. Further, the memory 402 may also include both an internal storage unit of the terminal device 400 and an external storage device. The memory 402 is used for storing computer programs and other programs and data required by the terminal device 400. The memory 402 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the embodiments of the method. . Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, in accordance with legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunications signals.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A method for evaluating the health degree of a power communication network is characterized in that the power communication network comprises a plurality of services, and the method for evaluating the health degree of the power communication network comprises the following steps:
acquiring a plurality of key evaluation indexes corresponding to a first service, and establishing a health degree evaluation model of the first service according to the key evaluation indexes; wherein, the first service is any one of the plurality of services;
acquiring network quality monitoring data corresponding to the first service, and determining a health degree evaluation value corresponding to the first service according to the network quality monitoring data; and
and determining the health degree grade of the first service according to the health degree evaluation model of the first service and the health degree evaluation value corresponding to the first service.
2. The method for evaluating the health degree of the power communication network according to claim 1, further comprising, before the obtaining of the plurality of key evaluation indexes corresponding to the first service:
and establishing a network quality model corresponding to the first service according to the network quality requirement of the first service, and determining a plurality of key evaluation indexes corresponding to the first service according to the network quality model.
3. The method for evaluating the health degree of the power communication network according to claim 1, wherein the determining the health degree evaluation value corresponding to the first service according to the network quality monitoring data includes:
determining index values of all key evaluation indexes according to the network quality monitoring data;
determining the weight of each key evaluation index;
and determining a health degree evaluation value corresponding to the first service according to the index value of each key evaluation index and the weight of each key evaluation index.
4. The method for evaluating the health degree of the power communication network according to claim 3, wherein the determining the health degree evaluation value corresponding to the first service according to the index value of each key evaluation index and the weight of each key evaluation index comprises:
normalizing the index value of each key evaluation index to obtain the normalized index value of each key evaluation index;
drawing an improved radar chart according to the normalized index value of each key evaluation index and the weight of each key evaluation index;
and determining a health degree evaluation value corresponding to the first service according to the improved radar map.
5. The method for evaluating the health degree of the power communication network according to claim 3, wherein the determining the weight of each key evaluation index comprises:
acquiring an initial weight matrix corresponding to the first service, wherein the initial weight matrix comprises a plurality of initial weights corresponding to each key evaluation index;
determining the average weight corresponding to each key evaluation index according to each initial weight corresponding to each key evaluation index;
determining a weight offset of each initial weight corresponding to each key evaluation index according to the average weight corresponding to each key evaluation index and a plurality of initial weights corresponding to each key evaluation index;
determining the intermediate weight of each key evaluation index according to the weight offset of each initial weight corresponding to each key evaluation index and the plurality of initial weights corresponding to each key evaluation index;
and carrying out normalization processing on the intermediate weight of each key evaluation index to obtain the weight of each key evaluation index.
6. The method for evaluating the health of the power communication network according to claim 5, wherein the determining the intermediate weight of each key evaluation index according to the weight offset of each initial weight corresponding to each key evaluation index and the plurality of initial weights corresponding to each key evaluation index comprises:
intermediate weight p of jth key evaluation indexjComprises the following steps:
wherein the initial weight matrix Q ═ Q (Q)ij)m×n，qijAn ith initial weight which is a jth evaluation index, where i is 1,2, … m, and m is the number of the plurality of initial weights; j is 1,2, … n, n is the number of key evaluation indexes,
is qijWeight offset of pijAre passed weights.
7. The method for evaluating the health degree of the power communication network according to claim 1, wherein the acquiring of the network quality monitoring data corresponding to the first service includes:
generating a network quality test case corresponding to the first service;
sending a detection message to the power communication network in a hardware probe mode according to the network quality test example;
and receiving network quality monitoring data corresponding to the first service returned by the power communication network.
8. The method for evaluating the health degree of the power communication network according to any one of claims 1 to 7, wherein the establishing of the health degree evaluation model of the first service according to the plurality of key evaluation indexes comprises:
acquiring a grade evaluation standard preset by each key evaluation index and the weight of each key evaluation index;
and determining a health degree evaluation model of the first service by adopting an improved radar graph method according to the preset grade evaluation standard of each key evaluation index and the weight of each key evaluation index.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for assessing the health of a power communication network according to any one of claims 1 to 8 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for assessing the health of an electrical power communication network according to any one of claims 1 to 8.
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